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20202026
most citedLatency-Aware Differentiable Neural Architecture Search

26 citations · 40 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 2 cited

AiluRus: A Scalable ViT Framework for Dense Prediction

Jin Li, Yaoming Wang, Xiaopeng Zhang +6

Vision transformers (ViTs) have emerged as a prevalent architecture for vision tasks owing to their impressive performance. However, when it comes to handling long token sequences,…

cs.CV2023

ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting

Hongwei Zheng, Han Li, Bowen Shi +5

Recent 2D-to-3D human pose estimation (HPE) utilizes temporal consistency across sequences to alleviate the depth ambiguity problem but ignore the action related prior knowledge hi…

cs.CV2023★ 2 cited

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners

Bowen Shi, Xiaopeng Zhang, Yaoming Wang +5

Representation learning has been evolving from traditional supervised training to Contrastive Learning (CL) and Masked Image Modeling (MIM). Previous works have demonstrated their…

cs.CV2023★ 1 cited

Rethinking Visual Prompt Learning as Masked Visual Token Modeling

Ning Liao, Bowen Shi, Xiaopeng Zhang +3

Prompt learning has achieved great success in efficiently exploiting large-scale pre-trained models in natural language processing (NLP). It reformulates the downstream tasks as th…

cs.CV2023★ 5 cited

Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation

Han Li, Bowen Shi, Wenrui Dai +7

There has been a recent surge of interest in introducing transformers to 3D human pose estimation (HPE) due to their powerful capabilities in modeling long-term dependencies. Howev…